78346 20200117213750.0 doi 10.1016/j.jelectrocard.2017.10.015 sideral 105308 ART-2018-105308 eng (orcid)0000-0002-0166-2837 Alcaine, A. Automatic activation mapping and origin identification of idiopathic outflow tract ventricular arrhythmias 2018 Access copy available to the general public Unrestricted Purpose: Activation mapping is used to guide ablation of idiopathic outflow tract ventricular arrhythmias (OTVAs). Isochronal activation maps help to predict the site of origin (SOO): left vs right outflow tract (OT). We evaluate an algorithm for automatic activation mapping based on the onset of the bipolar electrogram (EGM) signal for predicting the SOO and the effective ablation site in OTVAs. Methods: Eighteen patients undergoing ablation due to idiopathic OTVAs were studied (12 with left ventricle OT origin). Right ventricle activation maps were obtained offline with an automatic algorithm and compared with manual annotation maps obtained during the intervention. Local activation time (LAT) accuracy was assessed, as well as the performance of the 10 ms earliest activation site (EAS) isochronal area in predicting the SOO. Results: High correlation was observed between manual and automatic LATs (Spearman's: 0.86 and Lin's: 0.85, both p < 0.01). The EAS isochronal area were closely located in both map modalities (5.55 ± 3.56 mm) and at a similar distance from the effective ablation site (0.15 ± 2.08 mm difference, p = 0.859). The 10 ms isochronal area longitudinal/perpendicular diameter ratio measured from automatic maps showed slightly superior SOO identification (67% sensitivity, 100% specificity) compared with manual maps (67% sensitivity, 83% specificity). Conclusions: Automatic activation mapping based on the bipolar EGM onset allows fast, accurate and observer-independent identification of the SOO and characterization of the spreading of the activation wavefront in OTVAs. info:eu-repo/grantAgreement/ES/DGA-FSE/T96-BSICoS info:eu-repo/grantAgreement/ES/ISCIII-FEDER/PI14-00759 info:eu-repo/grantAgreement/ES/MINECO/BES-2011-046644 info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R info:eu-repo/grantAgreement/ES/MINECO/EEBB-I-15-09466 info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R info:eu-repo/grantAgreement/ES/MINECO/TIN2011-28067 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.166 2018 CARDIAC & CARDIOVASCULAR SYSTEMS 119 / 136 = 0.875 2018 Q4 T3 0.547 2018 Cardiology and Cardiovascular Medicine 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Soto-Iglesias, D. Acosta, J. Korshunov, V. Penela, D. Martínez, M. Linhart, M. Andreu, D. Fernández-Armenta, J. (orcid)0000-0003-3434-9254 Laguna, P. Universidad de Zaragoza (orcid)0000-0002-7503-3339 Martínez, J.P. Universidad de Zaragoza Camara, O. Berruezo, A. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 51, 2 (2018), 239-246 J. electrocardiol. JOURNAL OF ELECTROCARDIOLOGY 0022-0736 945098 http://zaguan.unizar.es/record/78346/files/texto_completo.pdf Postprint 42804 http://zaguan.unizar.es/record/78346/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:78346 articulos driver 2020-01-17-21:31:48 ARTICLE